Portmann, Edy; Meier, Andreas (2010). A Fuzzy Grassroots Ontology for improving Weblog Extraction. Journal of Digital Information Management, 8, pp. 276-284. Digital Information Research Foundation
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This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-generated weak ontology – based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems |
UniBE Contributor: |
Portmann, Edy |
Subjects: |
600 Technology > 650 Management & public relations |
ISSN: |
0972-7272 |
Publisher: |
Digital Information Research Foundation |
Projects: |
[388] Knowledge Aggregation, Representation and Reasoning |
Language: |
English |
Submitter: |
Sara D'Onofrio |
Date Deposited: |
10 Apr 2014 11:26 |
Last Modified: |
05 Dec 2022 14:30 |
BORIS DOI: |
10.7892/boris.45584 |
URI: |
https://boris.unibe.ch/id/eprint/45584 |
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